Pandas Profiling Report

Dataset statistics

Number of variables	56
Number of observations	15120
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	6.5 MiB
Average record size in memory	448.0 B

Variable types

Numeric	12
Categorical	44

Alerts

`Soil_Type7` has constant value "0"	Constant
`Soil_Type15` has constant value "0"	Constant
`Elevation` is highly correlated with `Horizontal_Distance_To_Roadways` and 2 other fields	High correlation
`Aspect` is highly correlated with `Hillshade_3pm`	High correlation
`Slope` is highly correlated with `Hillshade_Noon`	High correlation
`Horizontal_Distance_To_Hydrology` is highly correlated with `Vertical_Distance_To_Hydrology`	High correlation
`Vertical_Distance_To_Hydrology` is highly correlated with `Horizontal_Distance_To_Hydrology`	High correlation
`Horizontal_Distance_To_Roadways` is highly correlated with `Elevation`	High correlation
`Hillshade_9am` is highly correlated with `Hillshade_3pm`	High correlation
`Hillshade_Noon` is highly correlated with `Slope` and 1 other fields	High correlation
`Hillshade_3pm` is highly correlated with `Aspect` and 2 other fields	High correlation
`Horizontal_Distance_To_Fire_Points` is highly correlated with `Elevation`	High correlation
`Wilderness_Area1` is highly correlated with `Soil_Type29`	High correlation
`Wilderness_Area3` is highly correlated with `Wilderness_Area4`	High correlation
`Wilderness_Area4` is highly correlated with `Elevation` and 1 other fields	High correlation
`Soil_Type29` is highly correlated with `Wilderness_Area1`	High correlation
`Elevation` is highly correlated with `Horizontal_Distance_To_Roadways` and 1 other fields	High correlation
`Aspect` is highly correlated with `Hillshade_9am` and 1 other fields	High correlation
`Slope` is highly correlated with `Hillshade_Noon`	High correlation
`Horizontal_Distance_To_Hydrology` is highly correlated with `Vertical_Distance_To_Hydrology`	High correlation
`Vertical_Distance_To_Hydrology` is highly correlated with `Horizontal_Distance_To_Hydrology`	High correlation
`Horizontal_Distance_To_Roadways` is highly correlated with `Elevation`	High correlation
`Hillshade_9am` is highly correlated with `Aspect` and 1 other fields	High correlation
`Hillshade_Noon` is highly correlated with `Slope` and 1 other fields	High correlation
`Hillshade_3pm` is highly correlated with `Aspect` and 2 other fields	High correlation
`Wilderness_Area1` is highly correlated with `Soil_Type29`	High correlation
`Wilderness_Area3` is highly correlated with `Wilderness_Area4`	High correlation
`Wilderness_Area4` is highly correlated with `Elevation` and 1 other fields	High correlation
`Soil_Type29` is highly correlated with `Wilderness_Area1`	High correlation
`Elevation` is highly correlated with `Wilderness_Area4`	High correlation
`Horizontal_Distance_To_Hydrology` is highly correlated with `Vertical_Distance_To_Hydrology`	High correlation
`Vertical_Distance_To_Hydrology` is highly correlated with `Horizontal_Distance_To_Hydrology`	High correlation
`Hillshade_9am` is highly correlated with `Hillshade_3pm`	High correlation
`Hillshade_3pm` is highly correlated with `Hillshade_9am`	High correlation
`Wilderness_Area1` is highly correlated with `Soil_Type29`	High correlation
`Wilderness_Area3` is highly correlated with `Wilderness_Area4`	High correlation
`Wilderness_Area4` is highly correlated with `Elevation` and 1 other fields	High correlation
`Soil_Type29` is highly correlated with `Wilderness_Area1`	High correlation
`Wilderness_Area4` is highly correlated with `Wilderness_Area3` and 2 other fields	High correlation
`Soil_Type10` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type22` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Wilderness_Area3` is highly correlated with `Wilderness_Area4` and 2 other fields	High correlation
`Soil_Type17` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Wilderness_Area1` is highly correlated with `Soil_Type7` and 2 other fields	High correlation
`Soil_Type7` is highly correlated with `Wilderness_Area4` and 42 other fields	High correlation
`Soil_Type1` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type27` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type14` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type13` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type21` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type23` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type15` is highly correlated with `Wilderness_Area4` and 42 other fields	High correlation
`Soil_Type18` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type20` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Wilderness_Area2` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type2` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type36` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type30` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type9` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type38` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type29` is highly correlated with `Wilderness_Area1` and 2 other fields	High correlation
`Soil_Type28` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type26` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type16` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type24` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type31` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type40` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type11` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type32` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type25` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type33` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type37` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type8` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type19` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type6` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type3` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type35` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type39` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type5` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type12` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type34` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Soil_Type4` is highly correlated with `Soil_Type7` and 1 other fields	High correlation
`Id` is highly correlated with `Elevation` and 7 other fields	High correlation
`Elevation` is highly correlated with `Id` and 12 other fields	High correlation
`Aspect` is highly correlated with `Hillshade_9am` and 2 other fields	High correlation
`Slope` is highly correlated with `Hillshade_9am` and 2 other fields	High correlation
`Horizontal_Distance_To_Hydrology` is highly correlated with `Elevation` and 1 other fields	High correlation
`Vertical_Distance_To_Hydrology` is highly correlated with `Horizontal_Distance_To_Hydrology`	High correlation
`Horizontal_Distance_To_Roadways` is highly correlated with `Id` and 5 other fields	High correlation
`Hillshade_9am` is highly correlated with `Aspect` and 2 other fields	High correlation
`Hillshade_Noon` is highly correlated with `Aspect` and 2 other fields	High correlation
`Hillshade_3pm` is highly correlated with `Aspect` and 3 other fields	High correlation
`Horizontal_Distance_To_Fire_Points` is highly correlated with `Id` and 5 other fields	High correlation
`Wilderness_Area1` is highly correlated with `Id` and 7 other fields	High correlation
`Wilderness_Area2` is highly correlated with `Elevation`	High correlation
`Wilderness_Area3` is highly correlated with `Id` and 4 other fields	High correlation
`Wilderness_Area4` is highly correlated with `Id` and 8 other fields	High correlation
`Soil_Type3` is highly correlated with `Wilderness_Area4`	High correlation
`Soil_Type8` is highly correlated with `Soil_Type25`	High correlation
`Soil_Type10` is highly correlated with `Elevation` and 1 other fields	High correlation
`Soil_Type18` is highly correlated with `Horizontal_Distance_To_Fire_Points`	High correlation
`Soil_Type25` is highly correlated with `Soil_Type8`	High correlation
`Soil_Type29` is highly correlated with `Id` and 1 other fields	High correlation
`Soil_Type30` is highly correlated with `Wilderness_Area1`	High correlation
`Soil_Type38` is highly correlated with `Elevation`	High correlation
`Soil_Type39` is highly correlated with `Elevation`	High correlation
`Soil_Type40` is highly correlated with `Elevation`	High correlation
`Cover_Type` is highly correlated with `Id` and 2 other fields	High correlation
`Id` is uniformly distributed	Uniform
`Id` has unique values	Unique
`Horizontal_Distance_To_Hydrology` has 1590 (10.5%) zeros	Zeros
`Vertical_Distance_To_Hydrology` has 1890 (12.5%) zeros	Zeros

Reproduction

Analysis started	2022-04-29 12:30:38.638556
Analysis finished	2022-04-29 12:31:18.370652
Duration	39.73 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	15120
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7560.5

Minimum	1
Maximum	15120
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	118.2 KiB

Quantile statistics

Minimum	1
5-th percentile	756.95
Q1	3780.75
median	7560.5
Q3	11340.25
95-th percentile	14364.05
Maximum	15120
Range	15119
Interquartile range (IQR)	7559.5

Descriptive statistics

Standard deviation	4364.91237
Coefficient of variation (CV)	0.5773311779
Kurtosis	-1.2
Mean	7560.5
Median Absolute Deviation (MAD)	3780
Skewness	0
Sum	114314760
Variance	19052460
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	1	< 0.1%
10086	1	< 0.1%
10074	1	< 0.1%
10075	1	< 0.1%
10076	1	< 0.1%
10077	1	< 0.1%
10078	1	< 0.1%
10079	1	< 0.1%
10080	1	< 0.1%
10081	1	< 0.1%
Other values (15110)	15110	99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	1	< 0.1%
2	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
15120	1	< 0.1%
15119	1	< 0.1%
15118	1	< 0.1%
15117	1	< 0.1%
15116	1	< 0.1%
15115	1	< 0.1%
15114	1	< 0.1%
15113	1	< 0.1%
15112	1	< 0.1%
15111	1	< 0.1%

Elevation
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	1665
Distinct (%)	11.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2749.322553

Minimum	1863
Maximum	3849
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	118.2 KiB

Quantile statistics

Minimum	1863
5-th percentile	2117
Q1	2376
median	2752
Q3	3104
95-th percentile	3397
Maximum	3849
Range	1986
Interquartile range (IQR)	728

Descriptive statistics

Standard deviation	417.6781873
Coefficient of variation (CV)	0.151920402
Kurtosis	-1.082115791
Mean	2749.322553
Median Absolute Deviation (MAD)	367
Skewness	0.07563970694
Sum	41569757
Variance	174455.0682
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2830	25	0.2%
2290	25	0.2%
3371	24	0.2%
2952	23	0.2%
2955	23	0.2%
2820	23	0.2%
3244	23	0.2%
2795	23	0.2%
2850	22	0.1%
2962	22	0.1%
Other values (1655)	14887	98.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1863	1	< 0.1%
1874	1	< 0.1%
1879	1	< 0.1%
1888	1	< 0.1%
1889	2	< 0.1%
1896	1	< 0.1%
1898	1	< 0.1%
1899	1	< 0.1%
1901	1	< 0.1%
1903	2	< 0.1%

Value	Count	Frequency (%)
3849	2	< 0.1%
3848	1	< 0.1%
3846	2	< 0.1%
3844	1	< 0.1%
3842	1	< 0.1%
3839	1	< 0.1%
3836	1	< 0.1%
3831	1	< 0.1%
3827	1	< 0.1%
3825	2	< 0.1%

Aspect
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	361
Distinct (%)	2.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	156.6766534

Minimum	0
Maximum	360
Zeros	110
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	118.2 KiB

Quantile statistics

Minimum	0
5-th percentile	13
Q1	65
median	126
Q3	261
95-th percentile	344
Maximum	360
Range	360
Interquartile range (IQR)	196

Descriptive statistics

Standard deviation	110.0858014
Coefficient of variation (CV)	0.7026305386
Kurtosis	-1.150244484
Mean	156.6766534
Median Absolute Deviation (MAD)	77
Skewness	0.450935294
Sum	2368951
Variance	12118.88367
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
45	117	0.8%
0	110	0.7%
90	109	0.7%
63	89	0.6%
76	87	0.6%
27	82	0.5%
315	81	0.5%
75	80	0.5%
108	79	0.5%
117	78	0.5%
Other values (351)	14208	94.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	110	0.7%
1	48	0.3%
2	50	0.3%
3	54	0.4%
4	51	0.3%
5	46	0.3%
6	57	0.4%
7	48	0.3%
8	56	0.4%
9	51	0.3%

Value	Count	Frequency (%)
360	2	< 0.1%
359	33	0.2%
358	47	0.3%
357	58	0.4%
356	50	0.3%
355	45	0.3%
354	51	0.3%
353	55	0.4%
352	60	0.4%
351	55	0.4%

Slope
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	52
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.5015873

Minimum	0
Maximum	52
Zeros	5
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	118.2 KiB

Quantile statistics

Minimum	0
5-th percentile	5
Q1	10
median	15
Q3	22
95-th percentile	32
Maximum	52
Range	52
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.453926762
Coefficient of variation (CV)	0.5123099134
Kurtosis	-0.2383101358
Mean	16.5015873
Median Absolute Deviation (MAD)	6
Skewness	0.5236583383
Sum	249504
Variance	71.4688777
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	740	4.9%
10	739	4.9%
13	717	4.7%
14	699	4.6%
12	677	4.5%
15	664	4.4%
9	664	4.4%
16	640	4.2%
17	598	4.0%
8	574	3.8%
Other values (42)	8408	55.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	5	< 0.1%
1	78	0.5%
2	134	0.9%
3	210	1.4%
4	305	2.0%
5	423	2.8%
6	465	3.1%
7	573	3.8%
8	574	3.8%
9	664	4.4%

Value	Count	Frequency (%)
52	1	< 0.1%
50	1	< 0.1%
49	5	< 0.1%
48	1	< 0.1%
47	3	< 0.1%
46	15	0.1%
45	3	< 0.1%
44	5	< 0.1%
43	2	< 0.1%
42	3	< 0.1%

Horizontal_Distance_To_Hydrology
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	400
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	227.1957011

Minimum	0
Maximum	1343
Zeros	1590
Zeros (%)	10.5%
Negative	0
Negative (%)	0.0%
Memory size	118.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	67
median	180
Q3	330
95-th percentile	631
Maximum	1343
Range	1343
Interquartile range (IQR)	263

Descriptive statistics

Standard deviation	210.0752957
Coefficient of variation (CV)	0.9246446774
Kurtosis	2.803984388
Mean	227.1957011
Median Absolute Deviation (MAD)	120
Skewness	1.488052491
Sum	3435199
Variance	44131.62986
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1590	10.5%
30	1207	8.0%
150	497	3.3%
60	490	3.2%
42	452	3.0%
67	411	2.7%
85	381	2.5%
108	361	2.4%
90	284	1.9%
120	283	1.9%
Other values (390)	9164	60.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1590	10.5%
30	1207	8.0%
42	452	3.0%
60	490	3.2%
67	411	2.7%
85	381	2.5%
90	284	1.9%
95	259	1.7%
108	361	2.4%
120	283	1.9%

Value	Count	Frequency (%)
1343	1	< 0.1%
1318	1	< 0.1%
1294	1	< 0.1%
1261	2	< 0.1%
1260	2	< 0.1%
1218	1	< 0.1%
1213	1	< 0.1%
1208	1	< 0.1%
1203	1	< 0.1%
1201	1	< 0.1%

Vertical_Distance_To_Hydrology
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	423
Distinct (%)	2.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51.07652116

Minimum	-146
Maximum	554
Zeros	1890
Zeros (%)	12.5%
Negative	1139
Negative (%)	7.5%
Memory size	118.2 KiB

Quantile statistics

Minimum	-146
5-th percentile	-4
Q1	5
median	32
Q3	79
95-th percentile	176
Maximum	554
Range	700
Interquartile range (IQR)	74

Descriptive statistics

Standard deviation	61.23940613
Coefficient of variation (CV)	1.198973711
Kurtosis	3.403498704
Mean	51.07652116
Median Absolute Deviation (MAD)	32
Skewness	1.53777568
Sum	772277
Variance	3750.264863
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1890	12.5%
5	217	1.4%
3	206	1.4%
4	200	1.3%
8	198	1.3%
7	182	1.2%
10	176	1.2%
9	166	1.1%
2	165	1.1%
6	162	1.1%
Other values (413)	11558	76.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-146	1	< 0.1%
-134	1	< 0.1%
-123	1	< 0.1%
-115	1	< 0.1%
-114	1	< 0.1%
-110	1	< 0.1%
-108	1	< 0.1%
-104	1	< 0.1%
-103	1	< 0.1%
-100	2	< 0.1%

Value	Count	Frequency (%)
554	1	< 0.1%
547	2	< 0.1%
411	1	< 0.1%
403	1	< 0.1%
401	1	< 0.1%
397	2	< 0.1%
395	1	< 0.1%
393	1	< 0.1%
390	1	< 0.1%
387	1	< 0.1%

Horizontal_Distance_To_Roadways
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3250
Distinct (%)	21.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1714.023214

Minimum	0
Maximum	6890
Zeros	3
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	118.2 KiB

Quantile statistics

Minimum	0
5-th percentile	242
Q1	764
median	1316
Q3	2270
95-th percentile	4635.1
Maximum	6890
Range	6890
Interquartile range (IQR)	1506

Descriptive statistics

Standard deviation	1325.066358
Coefficient of variation (CV)	0.7730737525
Kurtosis	1.022419366
Mean	1714.023214
Median Absolute Deviation (MAD)	690
Skewness	1.247810678
Sum	25916031
Variance	1755800.854
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
150	88	0.6%
120	56	0.4%
390	47	0.3%
618	45	0.3%
1110	43	0.3%
700	41	0.3%
108	38	0.3%
900	37	0.2%
1273	37	0.2%
990	37	0.2%
Other values (3240)	14651	96.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3	< 0.1%
30	15	0.1%
42	5	< 0.1%
60	11	0.1%
67	13	0.1%
85	10	0.1%
90	23	0.2%
95	19	0.1%
108	38	0.3%
120	56	0.4%

Value	Count	Frequency (%)
6890	1	< 0.1%
6836	1	< 0.1%
6811	1	< 0.1%
6766	1	< 0.1%
6679	1	< 0.1%
6660	1	< 0.1%
6508	2	< 0.1%
6414	1	< 0.1%
6406	1	< 0.1%
6371	1	< 0.1%

Hillshade_9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	176
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	212.7042989

Minimum	0
Maximum	254
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	118.2 KiB

Quantile statistics

Minimum	0
5-th percentile	151
Q1	196
median	220
Q3	235
95-th percentile	250
Maximum	254
Range	254
Interquartile range (IQR)	39

Descriptive statistics

Standard deviation	30.56128689
Coefficient of variation (CV)	0.143679686
Kurtosis	1.218810484
Mean	212.7042989
Median Absolute Deviation (MAD)	18
Skewness	-1.093680561
Sum	3216089
Variance	933.9922561
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
226	279	1.8%
229	269	1.8%
224	265	1.8%
228	261	1.7%
230	260	1.7%
233	248	1.6%
223	245	1.6%
219	242	1.6%
231	239	1.6%
225	236	1.6%
Other values (166)	12576	83.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
58	1	< 0.1%
59	2	< 0.1%
65	1	< 0.1%
73	1	< 0.1%
78	1	< 0.1%
80	2	< 0.1%
81	1	< 0.1%
83	3	< 0.1%
85	2	< 0.1%

Value	Count	Frequency (%)
254	190	1.3%
253	200	1.3%
252	189	1.2%
251	174	1.2%
250	192	1.3%
249	195	1.3%
248	178	1.2%
247	188	1.2%
246	181	1.2%
245	201	1.3%

Hillshade_Noon
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	141
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	218.9656085

Minimum	99
Maximum	254
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	118.2 KiB

Quantile statistics

Minimum	99
5-th percentile	175
Q1	207
median	223
Q3	235
95-th percentile	250
Maximum	254
Range	155
Interquartile range (IQR)	28

Descriptive statistics

Standard deviation	22.80196554
Coefficient of variation (CV)	0.1041349174
Kurtosis	1.153484179
Mean	218.9656085
Median Absolute Deviation (MAD)	14
Skewness	-0.9532317075
Sum	3310760
Variance	519.9296327
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
225	327	2.2%
229	324	2.1%
226	320	2.1%
224	313	2.1%
230	311	2.1%
223	303	2.0%
232	298	2.0%
222	297	2.0%
228	294	1.9%
218	293	1.9%
Other values (131)	12040	79.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
99	4	< 0.1%
102	1	< 0.1%
103	1	< 0.1%
107	1	< 0.1%
111	2	< 0.1%
113	3	< 0.1%
114	1	< 0.1%
115	1	< 0.1%
116	1	< 0.1%
118	1	< 0.1%

Value	Count	Frequency (%)
254	133	0.9%
253	163	1.1%
252	152	1.0%
251	183	1.2%
250	167	1.1%
249	176	1.2%
248	196	1.3%
247	210	1.4%
246	214	1.4%
245	207	1.4%

Hillshade_3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	247
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	135.0919974

Minimum	0
Maximum	248
Zeros	88
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	118.2 KiB

Quantile statistics

Minimum	0
5-th percentile	53
Q1	106
median	138
Q3	167
95-th percentile	207
Maximum	248
Range	248
Interquartile range (IQR)	61

Descriptive statistics

Standard deviation	45.89518871
Coefficient of variation (CV)	0.3397328458
Kurtosis	-0.08734390755
Mean	135.0919974
Median Absolute Deviation (MAD)	30
Skewness	-0.3408272326
Sum	2042591
Variance	2106.368347
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
143	182	1.2%
149	161	1.1%
132	156	1.0%
133	154	1.0%
142	154	1.0%
136	154	1.0%
137	152	1.0%
138	148	1.0%
154	148	1.0%
152	145	1.0%
Other values (237)	13566	89.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	88	0.6%
1	1	< 0.1%
3	3	< 0.1%
4	1	< 0.1%
6	2	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
9	2	< 0.1%
10	3	< 0.1%
11	2	< 0.1%

Value	Count	Frequency (%)
248	2	< 0.1%
247	4	< 0.1%
246	4	< 0.1%
245	4	< 0.1%
244	3	< 0.1%
243	4	< 0.1%
242	3	< 0.1%
241	3	< 0.1%
240	7	< 0.1%
239	5	< 0.1%

Horizontal_Distance_To_Fire_Points
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	2710
Distinct (%)	17.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1511.147288

Minimum	0
Maximum	6993
Zeros	2
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	118.2 KiB

Quantile statistics

Minimum	0
5-th percentile	296.9
Q1	730
median	1256
Q3	1988.25
95-th percentile	3663.05
Maximum	6993
Range	6993
Interquartile range (IQR)	1258.25

Descriptive statistics

Standard deviation	1099.936493
Coefficient of variation (CV)	0.7278817235
Kurtosis	3.385415788
Mean	1511.147288
Median Absolute Deviation (MAD)	595
Skewness	1.617098874
Sum	22848547
Variance	1209860.288
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
618	65	0.4%
541	51	0.3%
636	45	0.3%
607	43	0.3%
960	42	0.3%
573	42	0.3%
752	41	0.3%
942	40	0.3%
242	40	0.3%
342	40	0.3%
Other values (2700)	14671	97.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2	< 0.1%
30	9	0.1%
42	11	0.1%
60	10	0.1%
67	20	0.1%
85	8	0.1%
90	9	0.1%
95	19	0.1%
108	25	0.2%
120	8	0.1%

Value	Count	Frequency (%)
6993	1	< 0.1%
6853	1	< 0.1%
6723	1	< 0.1%
6686	1	< 0.1%
6661	1	< 0.1%
6632	1	< 0.1%
6615	1	< 0.1%
6606	1	< 0.1%
6600	1	< 0.1%
6597	1	< 0.1%

Wilderness_Area1
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	11523
1	3597

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	11523	76.2%
1	3597	23.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	11523	76.2%
1	3597	23.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Wilderness_Area2
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14621
1	499

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14621	96.7%
1	499	3.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14621	96.7%
1	499	3.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Wilderness_Area3
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	8771
1	6349

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	8771	58.0%
1	6349	42.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	8771	58.0%
1	6349	42.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Wilderness_Area4
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	10445
1	4675

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	10445	69.1%
1	4675	30.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	10445	69.1%
1	4675	30.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type1
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14765
1	355

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14765	97.7%
1	355	2.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14765	97.7%
1	355	2.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type2
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14497
1	623

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14497	95.9%
1	623	4.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14497	95.9%
1	623	4.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type3
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14158
1	962

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14158	93.6%
1	962	6.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14158	93.6%
1	962	6.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type4
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14277
1	843

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14277	94.4%
1	843	5.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14277	94.4%
1	843	5.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type5
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14955
1	165

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14955	98.9%
1	165	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14955	98.9%
1	165	1.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type6
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14470
1	650

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14470	95.7%
1	650	4.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14470	95.7%
1	650	4.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type7
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15120

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15120	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15120	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type8
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15119
1	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15119	> 99.9%
1	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15119	> 99.9%
1	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type9
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15110
1	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15110	99.9%
1	10	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15110	99.9%
1	10	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type10
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	12978
1	2142

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	12978	85.8%
1	2142	14.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	12978	85.8%
1	2142	14.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type11
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14714
1	406

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14714	97.3%
1	406	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14714	97.3%
1	406	2.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type12
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14893
1	227

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14893	98.5%
1	227	1.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14893	98.5%
1	227	1.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type13
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14644
1	476

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14644	96.9%
1	476	3.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14644	96.9%
1	476	3.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type14
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14951
1	169

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14951	98.9%
1	169	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14951	98.9%
1	169	1.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type15
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15120

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15120	100.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15120	100.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type16
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15006
1	114

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15006	99.2%
1	114	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15006	99.2%
1	114	0.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type17
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14508
1	612

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14508	96.0%
1	612	4.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14508	96.0%
1	612	4.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type18
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15060
1	60

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15060	99.6%
1	60	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15060	99.6%
1	60	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type19
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15074
1	46

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15074	99.7%
1	46	0.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15074	99.7%
1	46	0.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type20
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14981
1	139

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14981	99.1%
1	139	0.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14981	99.1%
1	139	0.9%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type21
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15104
1	16

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15104	99.9%
1	16	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15104	99.9%
1	16	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type22
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14775
1	345

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14775	97.7%
1	345	2.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14775	97.7%
1	345	2.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type23
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14363
1	757

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14363	95.0%
1	757	5.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14363	95.0%
1	757	5.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type24
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14863
1	257

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14863	98.3%
1	257	1.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14863	98.3%
1	257	1.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type25
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15119
1	1

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15119	> 99.9%
1	1	< 0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15119	> 99.9%
1	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type26
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15066
1	54

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15066	99.6%
1	54	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15066	99.6%
1	54	0.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type27
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15105
1	15

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15105	99.9%
1	15	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15105	99.9%
1	15	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type28
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15111
1	9

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15111	99.9%
1	9	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15111	99.9%
1	9	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type29
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	13829
1	1291

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	13829	91.5%
1	1291	8.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	13829	91.5%
1	1291	8.5%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type30
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14395
1	725

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	14395	95.2%
1	725	4.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14395	95.2%
1	725	4.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type31
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14788
1	332

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14788	97.8%
1	332	2.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14788	97.8%
1	332	2.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type32
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14430
1	690

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14430	95.4%
1	690	4.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14430	95.4%
1	690	4.6%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type33
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14504
1	616

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14504	95.9%
1	616	4.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14504	95.9%
1	616	4.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type34
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15098
1	22

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15098	99.9%
1	22	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15098	99.9%
1	22	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type35
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15018
1	102

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15018	99.3%
1	102	0.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15018	99.3%
1	102	0.7%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type36
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15110
1	10

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15110	99.9%
1	10	0.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15110	99.9%
1	10	0.1%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type37
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	15086
1	34

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	15086	99.8%
1	34	0.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	15086	99.8%
1	34	0.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type38
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14392
1	728

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14392	95.2%
1	728	4.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14392	95.2%
1	728	4.8%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type39
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14463
1	657

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14463	95.7%
1	657	4.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14463	95.7%
1	657	4.3%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Soil_Type40
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	118.2 KiB

0	14661
1	459

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	14661	97.0%
1	459	3.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	14661	97.0%
1	459	3.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

Cover_Type
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	118.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	7
Maximum	7
Range	6
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.000066141
Coefficient of variation (CV)	0.5000165352
Kurtosis	-1.250016528
Mean	4
Median Absolute Deviation (MAD)	2
Skewness	0
Sum	60480
Variance	4.000264568
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
5	2160	14.3%
2	2160	14.3%
1	2160	14.3%
7	2160	14.3%
3	2160	14.3%
6	2160	14.3%
4	2160	14.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	2160	14.3%
2	2160	14.3%
3	2160	14.3%
4	2160	14.3%
5	2160	14.3%
6	2160	14.3%
7	2160	14.3%

Value	Count	Frequency (%)
7	2160	14.3%
6	2160	14.3%
5	2160	14.3%
4	2160	14.3%
3	2160	14.3%
2	2160	14.3%
1	2160	14.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Matrix

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Id	Elevation	Aspect	Slope	Horizontal_Distance_To_Hydrology	Vertical_Distance_To_Hydrology	Horizontal_Distance_To_Roadways	Hillshade_9am	Hillshade_Noon	Hillshade_3pm	Horizontal_Distance_To_Fire_Points	Wilderness_Area1	Soil_Type12	Soil_Type29	Soil_Type30	Cover_Type
0	1	2596	51	3	258	0	510	221	232	148	6279	1	0	1	0	5
1	2	2590	56	2	212	-6	390	220	235	151	6225	1	0	1	0	5
2	3	2804	139	9	268	65	3180	234	238	135	6121	1	1	0	0	2
3	4	2785	155	18	242	118	3090	238	238	122	6211	1	0	0	1	2
4	5	2595	45	2	153	-1	391	220	234	150	6172	1	0	1	0	5
5	6	2579	132	6	300	-15	67	230	237	140	6031	1	0	1	0	2
6	7	2606	45	7	270	5	633	222	225	138	6256	1	0	1	0	5
7	8	2605	49	4	234	7	573	222	230	144	6228	1	0	1	0	5
8	9	2617	45	9	240	56	666	223	221	133	6244	1	0	1	0	5
9	10	2612	59	10	247	11	636	228	219	124	6230	1	0	1	0	5

Last rows

	Id	Elevation	Aspect	Slope	Horizontal_Distance_To_Hydrology	Vertical_Distance_To_Hydrology	Horizontal_Distance_To_Roadways	Hillshade_9am	Hillshade_Noon	Hillshade_3pm	Horizontal_Distance_To_Fire_Points	Wilderness_Area3	Soil_Type2	Soil_Type4	Soil_Type10	Soil_Type11	Cover_Type
15110	15111	2508	33	26	67	1	644	204	173	91	1385	1	0	0	1	0	6
15111	15112	2610	59	17	60	10	674	231	202	98	1328	1	0	0	1	0	6
15112	15113	2600	38	25	124	0	589	212	178	89	1261	1	0	0	1	0	6
15113	15114	2688	104	15	443	10	805	245	219	99	1266	1	0	0	0	1	3
15114	15115	2670	108	12	624	24	730	241	225	112	1231	1	0	0	0	1	3
15115	15116	2607	243	23	258	7	660	170	251	214	1282	1	0	1	0	0	3
15116	15117	2603	121	19	633	195	618	249	221	91	1325	1	0	1	0	0	3
15117	15118	2492	134	25	365	117	335	250	220	83	1187	1	0	1	0	0	3
15118	15119	2487	167	28	218	101	242	229	237	119	932	1	0	1	0	0	3
15119	15120	2475	197	34	319	78	270	189	244	164	914	1	1	0	0	0	3

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script